Blowes Shane A, Daskalova Gergana N, Dornelas Maria, Engel Thore, Gotelli Nicholas J, Magurran Anne E, Martins Inês S, McGill Brian, McGlinn Daniel J, Sagouis Alban, Shimadzu Hideyasu, Supp Sarah R, Chase Jonathan M
German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.
Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany.
Ecology. 2022 Dec;103(12):e3820. doi: 10.1002/ecy.3820. Epub 2022 Sep 29.
Biodiversity metrics often integrate data on the presence and abundance of multiple species. Yet our understanding of covariation between changes to the numbers of individuals, the evenness of species relative abundances, and the total number of species remains limited. Using individual-based rarefaction curves, we show how expected positive relationships among changes in abundance, evenness and richness arise, and how they can break down. We then examined interdependencies between changes in abundance, evenness and richness in more than 1100 assemblages sampled either through time or across space. As predicted, richness changes were greatest when abundance and evenness changed in the same direction, and countervailing changes in abundance and evenness acted to constrain the magnitude of changes in species richness. Site-to-site differences in abundance, evenness, and richness were often decoupled, and pairwise relationships between these components across assemblages were weak. In contrast, changes in species richness and relative abundance were strongly correlated for assemblages varying through time. Temporal changes in local biodiversity showed greater inertia and stronger relationships between the component changes when compared to site-to-site variation. Overall, local variation in assemblage diversity was rarely due to repeated passive samples from an approximately static species abundance distribution. Instead, changing species relative abundances often dominated local variation in diversity. Moreover, how changing relative abundances combined with changes to total abundance frequently determined the magnitude of richness changes. Embracing the interdependencies between changing abundance, evenness and richness can provide new information to better understand biodiversity change in the Anthropocene.
生物多样性指标通常整合多个物种的存在和丰度数据。然而,我们对个体数量变化、物种相对丰度的均匀度以及物种总数之间的协变关系的理解仍然有限。利用基于个体的稀疏曲线,我们展示了丰度、均匀度和丰富度变化之间预期的正相关关系是如何产生的,以及它们是如何瓦解的。然后,我们研究了通过时间或空间采样的1100多个群落中丰度、均匀度和丰富度变化之间的相互依存关系。正如预测的那样,当丰度和均匀度朝着相同方向变化时,丰富度变化最大,而丰度和均匀度的抵消变化则限制了物种丰富度变化的幅度。不同地点之间的丰度、均匀度和丰富度差异往往是解耦的,这些组成部分在不同群落之间的成对关系很弱。相比之下,对于随时间变化的群落,物种丰富度和相对丰度的变化密切相关。与不同地点之间的变化相比,当地生物多样性的时间变化表现出更大的惯性,并且组成部分变化之间的关系更强。总体而言,群落多样性的局部变化很少是由于从近似静态的物种丰度分布中重复进行的被动采样造成的。相反,物种相对丰度的变化往往主导了多样性的局部变化。此外,变化的相对丰度与总丰度变化如何结合,常常决定了丰富度变化的幅度。认识到变化的丰度、均匀度和丰富度之间的相互依存关系,可以提供新的信息,以便更好地理解人类世的生物多样性变化。